Demographics details for Experiment, GA vs Woodbury, TN
Population Overview
Compare main population characteristics in Experiment, GA vs Woodbury, TN.
Data | Experiment | Woodbury |
---|---|---|
Population | 2,578 | 2,804 |
Median Age | 37.3 years | 35.1 years |
Median Income | $28,955 | $51,528 |
Married Families | 17.0% | 25.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Experiment vs Woodbury
- The population in Woodbury is higher at 2,804, compared to 2,578 in Experiment.
- Residents in Experiment have a higher median age of 37.3 years compared to 35.1 years in Woodbury.
- Woodbury has a higher median income of $51,528, compared to $28,955 in Experiment.
- In Woodbury, the percentage of married families is higher at 25.0%, compared to 17.0% in Experiment.
- Experiment has a higher poverty level at 13% compared to 10% in Woodbury.
- The unemployment rate in Experiment is higher at 4.2%, compared to 3.2% in Woodbury.
Demographics
Demographics Experiment vs Woodbury provide insight into the diversity of the communities to compare.
Demographic | Experiment | Woodbury |
---|---|---|
Black | 55 | 4 |
White | 38 | 89 |
Asian | Data is updating | Data is updating |
Hispanic | 6 | 4 |
Two or More Races | Data is updating | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Experiment vs Woodbury
- A higher percentage of Black residents are in Experiment at 55% compared to 4% in Woodbury.
- The percentage of White residents is higher in Woodbury at 89% compared to 38% in Experiment.
- Both Experiment and Woodbury have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Experiment at 6% compared to 4% in Woodbury.
- The percentage of residents identifying as two or more races is higher in Woodbury at 3%, compared to 0% in Experiment.
- A greater percentage of American Indian residents live in Experiment at 1% compared to 0% in Woodbury.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Experiment | Woodbury |
---|---|---|
Mental Health Not Good | 22.7% | 20.1% |
Physical Health Not Good | 19.6% | 13.9% |
Depression | 22.2% | 30.2% |
Smoking | 31.3% | 23.4% |
Binge Drinking | 11.8% | 15.6% |
Obesity | 44.5% | 35.6% |
Disability Percentage | 18.0% | 19.0% |
Health Statistics Comparison: Experiment vs Woodbury
- More residents in Experiment report poor mental health at 22.7% compared to 20.1% in Woodbury.
- Higher depression rates are seen in Woodbury at 30.2% versus 22.2% in Experiment.
- Smoking is more prevalent in Experiment at 31.3% compared to 23.4% in Woodbury.
- More residents engage in binge drinking in Woodbury at 15.6% compared to 11.8% in Experiment.
- Obesity rates are higher in Experiment at 44.5% compared to 35.6% in Woodbury.
- There is a higher percentage of disabled individuals in Woodbury at 19.0% compared to 18.0% in Experiment.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Experiment | Woodbury |
---|---|---|
No Schooling | 3.2% (83) | 0.7% (21) |
High School Diploma | 29.1% (749) | 28.8% (807) |
Less than High School | 33.7% (869) | 17.9% (502) |
Bachelor's Degree and Higher | 3.8% (98) | 9.7% (271) |
Education Levels Comparison: Experiment vs Woodbury
- A higher percentage of residents in Experiment have no formal schooling at 3.2% compared to 0.7% in Woodbury.
- A higher percentage of residents in Experiment hold a high school diploma at 29.1% compared to 28.8% in Woodbury.
- More residents in Experiment have less than a high school education at 33.7% compared to 17.9% in Woodbury.
- In Woodbury, a larger share of residents have a bachelor's degree or higher at 9.7% compared to 3.8% in Experiment.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.